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Palantir Forward Deployed Engineer

Deloitte

Palantir Forward Deployed Engineer

Deloitte

Arlington, VA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Professional development budget

Comprehensive health, dental, and vision insurance

401(k) matching

Parental leave

Flexible work arrangements

Equity

Learning

Healthcare

Parental Leave

Flexible Hours

Required Skills

PostgreSQL

Python

React

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You’ll Do

The Senior Palantir Data Scientist will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes.

The team

Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor’s degree required.

  • 5+ years of data science and/or data manipulation and analysis

  • 3+ years experience working with Palantir Foundry

  • Must be able to obtain and maintain the required clearance for this role.

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

  • Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve

  • Preferred

  • 5+ years of experience with pipeline and application development within Palantir Foundry

  • 5+ years of prior professional services or federal consulting experience

  • Proven leadership experience with the ability to translate technical concepts to nontechnical audiences

  • Creativity and innovation – desire to learn and apply new technologies, products, and libraries

  • Strong written and verbal communication skills

  • Strong organizational skills

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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About Deloitte

Deloitte

Deloitte

Private Partnership

A business consulting company that offers audit, consulting, financial advisory, and tax services.

10,001+

Employees

London

Headquarters

Reviews

3.4

17 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.8

Career

2.2

Management

1.5

25%

Recommend to a Friend

Pros

Professional development and certification support

Opportunities to work on critical projects

Recognition of high performers

Cons

Poor management and leadership decisions

Unfair promotion processes despite good performance

Layoffs and job insecurity

Salary Ranges

87,539 data points

Junior/L3

Junior/L3 · Analyst

3,676 reports

$92,194

total / year

Base

$86,837

Stock

-

Bonus

$5,357

$67,832

$126,306

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Hiring Manager Interview

4

Behavioral Interview

5

Team/Panel Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Case Study

Past Experience

Culture Fit